‘Thank you so much! mystery solved’: online expressions of gratitude by IMDb* members = Çok teşekkürler! gizem çözüldü: IMDb kullanıcılarının çevrimiçi şükran ifadeleri

Thank you very much!

Predicting Movie Revenue from IMDb Data

Given the information known about a movie in the week of its release, can we predict the total gross revenue for that movie? Such information would be useful to marketers, theater operators, and others in the movie industry, but it is a hard problem, even for human beings. We found that, given a set of numeric, textbased, and sentiment features from IMDb, linear regression outperforms class-bas...

Sentiment Analysis of IMDb movie reviews

There are hundreds of newspaper articles, blogs, magazines and product reviews that get released on the web everyday. The New York Times has a database of newspapers spanning over 20 years between 1987 and 2007 that is available online. The online database also contains 1.8 million articles from The Times, and many of these online articles have been manually annotated for people, places and org...

Predicting IMDB movie ratings using Google Trends

Movie ratings are influenced by many factors, so accurate prediction of new movie ratings can be challenging. In recent years, various semantic analysis techniques were successfully applied to analyzing user reviews, which in turn were applied to predict IMDB movie ratings (based on IMDB reviews, youtube movie trailer reviews etc). To the best of our knowledge there has been no research done on...

Predicting Indian Movie Ratings on IMDB

S r i k a n t h S V A y e s h a R a h m a n M o t o k i S a i t o R a n g a s a y e e L a l g u d i C h a n d r a s e k a r a n A n a n d A g r a w a l